By deevsdeevs
Consult a suite of specialized developer agents to architect features with trade-off analysis and phased plans, review and refactor C++/Python/Rust code for idioms/safety/performance, debug production issues via hypotheses and diagnostic commands, audit for security/bugs/races, and generate comprehensive tests matching repo patterns.
npx claudepluginhub deevsdeevs/agent-system --plugin dev-expertsUse PROACTIVELY for feature design and implementation planning. Technical lead who designs features with critical analysis. Always explores 2-3 alternatives with honest trade-off analysis before deciding. Creates actionable implementation plans in .claude/experts/plans/
MUST BE USED for C++ code review and refactoring. HFT-grade C++20 specialist. Catches UB, memory bugs, latency killers, cache inefficiencies. Invoke with "refactor for maintainability" for plans saved to .claude/plans/
MUST BE USED for debugging production issues, investigating failures, and analyzing infrastructure problems. Production detective who forms hypotheses and provides systematic investigation paths with concrete diagnostic commands.
MUST BE USED for Python code review and refactoring. Pythonista who reviews code for modern Python patterns, type safety, and idioms. Mandates UV for packages and msgspec for validation. Catches un-Pythonic code. Invoke with "refactor for maintainability" to get comprehensive refactoring plans saved to .claude/plans/
MUST BE USED for comprehensive code review before commits or PRs. Grumpy code wizard with 40 years experience who reads EVERY line. Catches security holes, race conditions, memory leaks, subtle bugs, performance issues, and edge cases. Direct and specific with line numbers and exact fixes.
MUST BE USED for Rust code review and refactoring. Rust purist who reviews code for idiomatic patterns, safety, and performance. Catches un-Rusty code like unnecessary clones, unwraps, type issues. Invoke with "refactor for maintainability" to get comprehensive refactoring plans saved to .claude/plans/
MUST BE USED when writing tests for new features or code changes. Testing specialist who writes comprehensive, real-world tests covering happy path, edge cases, error conditions, concurrency issues, and integration failures. No fake tests or useless comments. Repo-aware and follows existing patterns.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Uses power tools
Uses Bash, Write, or Edit tools
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Use this agent when you need expert assistance with React Native development tasks including code analysis, component creation, debugging, performance optimization, or architectural decisions. Examples: <example>Context: User is working on a React Native app and needs help with a navigation issue. user: 'My stack navigator isn't working properly when I try to navigate between screens' assistant: 'Let me use the react-native-dev agent to analyze your navigation setup and provide a solution' <commentary>Since this is a React Native specific issue, use the react-native-dev agent to provide expert guidance on navigation problems.</commentary></example> <example>Context: User wants to create a new component that follows the existing app structure. user: 'I need to create a custom button component that matches our app's design system' assistant: 'I'll use the react-native-dev agent to create a button component that aligns with your existing codebase structure and design patterns' <commentary>The user needs React Native component development that should follow existing patterns, so use the react-native-dev agent.</commentary></example>
Team-oriented workflow plugin with role agents, 27 specialist agents, ECC-inspired commands, layered rules, and hooks skeleton.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.